1. What is New in SQL Server 2016 BI Stack
Dinesh Asanka

2. Dinesh Asanka
Employed as a Senior Architect at VirtusaPolaris (pvt) Ltd.
Founding member of SQL Server Sri Lanka User Group and Colombo Big Data User Group.
Working with SQL Server since SQL Server 7 from 1999.
SQL Server MVP since 2007.
Contributed to five SQL Server books.
Product Reviewer for more than 10 third party utility companies.
Visiting Lecture for NetAssit, SLIIT, University of Kelaniya.
Presenter in SSSLUG, CBDUG, IEEE, Techinsight, sqlSaturday and PASS Virtual Chapter.
Reading for MPhil in Fuzzy Data warehousing.

3. Traditional Enterprise SQL Server Implementation

4. Key Benefits in SQL Server 2016

5. Reporting Server New Portal with KPI, Paginated Reports, Dashboards
Favorite Option
New Charts
Export to PowerPoint
SSRS Mobile Reports

6. New SSRS Portal

7. SSRS Mobile

8. What is R A language platform A community An ecosystem
Functional language optimized for statistics and data science
Data visualization framework
Provided as Open Source
A community
3M+ statistical analysis and machine learning users
Taught in most university statistics programs
Active user groups across the world
An ecosystem
CRAN: freely available packages, test data and evaluations
Many applicable to big data if scaled
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5/8/2019 |
Machine Learning with SQL Server 2016 & R

9. Challenges in R
9 |
5/8/2019 |
Machine Learning with SQL Server 2016 & R

10. MS R Server Enterprise Class R
Built on Revolution Analytics acquisition
SQL Server 2016 R Support via R Server
Source: Microsoft Website (URL above)
5/8/2019 |
Machine Learning with SQL Server 2016 & R

11. R Services in SQL Server
R services is a new feature in SQL Server 2016.
Available from Express to Enterprise Edition.
No need for data move
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5/8/2019 |
Machine Learning with SQL Server 2016 & R

12. Tabular Model Improvements

13. SSIS
Debugging
Package Parts

14. Relational Database Query Store Stretch Database Security Big Data
Analyze statistics for previously executed queries.
Stretch Database
Entire/Partial of table is on Azure but remains query-able from on premise apps.
Puts Historical data in the right place
Security
Row Level Security
Always Encrypted
Big Data
PolyBase data query
JSON Support
Functionality
In Memory OLTP
Temporal Tables
Partition Truncation

15. Thank You